Policy presence
University of North Carolina at Charlotte has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Charlotte, United States
University of North Carolina at Charlotte has 6 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 25, 2026.
v1 public contract
University of North Carolina at Charlotte has 6 source-backed AI policy claims from 4 official source attributions, including 6 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 25, 2026. Discovery context: University of North Carolina at Charlotte is listed as QS 2026 rank 1001-1200.
As of this public record, University AI Policy Tracker lists University of North Carolina at Charlotte as an agent-reviewed AI policy record last checked on May 25, 2026 and last changed on May 25, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-north-carolina-at-charlotte.json. The entity-level confidence is 97%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
University of North Carolina at Charlotte has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
University of North Carolina at Charlotte has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
University of North Carolina at Charlotte has 2 source-backed public claims for coursework; deterministic analysis status: allowed.
University of North Carolina at Charlotte has 4 source-backed public claims for exams; deterministic analysis status: required.
University of North Carolina at Charlotte has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of North Carolina at Charlotte has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
University of North Carolina at Charlotte has 2 source-backed public claims for approved tools; deterministic analysis status: required.
University of North Carolina at Charlotte has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of North Carolina at Charlotte has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of North Carolina at Charlotte has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
University of North Carolina at Charlotte has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
6 reviewed evidence-backed public claim
Privacy
Normalized value: Confidential, legally restricted, and Level 3 data should not be entered into AI tools.
Oryginalny dowod
Evidence 1Protect UNC Charlotte's confidential information and your own. Do not enter confidential or legally restricted data (e.g., personnel records or data protected by FERPA, HIPAA, PCI etc.) or any data that Charlotte's data classification policy identifies as level 3 into an AI tool.
Procurement
Normalized value: Non-campus-wide AI software requires Software & IT-Related Request Form review.
Oryginalny dowod
Evidence 1This list provides guidance on using campus-wide, specialized, and popular AI software with university data. All non-campus-wide software, including free and research-related requests, must fill out the Software & IT-Related Request Form.
Ai Tool Treatment
Normalized value: OneIT AI software list uses approved, caution, and do-not-use ratings.
Oryginalny dowod
Evidence 1The green circle indicates approved, and the software is approved for use while following the data handling guidelines; a campus agreement is in place with approved data security and privacy policies. ... AI Detection Software Do Not Use ... AI Grading Software Do Not Use.
Source Status
Normalized value: CTL AI syllabus guide is course-level guidance, not institution-level AI policy.
Oryginalny dowod
Evidence 1This guide does NOT provide or use a university-created policy on AI. ... The examples below are course level examples of AI guidelines focused on the use of AI use integrated into coursework. The examples below do not reflect current or future institution level, or department level policy on AI use.
Teaching
Normalized value: Faculty best practice is written communication of permitted AI use.
Oryginalny dowod
Evidence 1To support academic integrity and meaningful learning, faculty should clearly communicate what kind of AI use is permitted in their courses or in particular academic exercises or assessments. ... As a best practice, faculty members should notify students, in writing, about how and when AI tools (such as ChatGPT, Copilot, Gemini, etc.) may be used in their assignments, exams, and other course work.
Academic Integrity
Normalized value: Sample assignment language treats undisclosed AI use as a possible academic integrity violation when disclosure is required.
Oryginalny dowod
Evidence 1You are permitted, but not required, to use AI tools (such as Copilot or Gemini) to support your learning and productivity on this assignment. However, transparency is required, and failure to disclose AI use may be considered a violation of the Code of Student Academic Integrity.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
4 source attribution
oneit.charlotte.edu
accountability.charlotte.edu
oneit.charlotte.edu
teaching.charlotte.edu
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